Cristian-Robert Munteanu

Associate Professor

Universidade da Coruña Facultade de Informática

Spain

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About

Dr. Cristian-Robert Munteanu is an Associate Professor at Universidade da Coruña Facultade de Informática in Spain. His research focuses on interdomain horizontal gene transfer, artificial intelligence applications in drug delivery systems, and the optimization of chiral catalysts. His recent publications include studies on machine learning modeling for drug release systems and compound-target interactions.

Articles (18)

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2025

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2021

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2021

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2020

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2020

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2020

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2020

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2020

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2020

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2020

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Universidad del País Vasco

SPAIN

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Cristian-Robert Munteanu

Research Interests

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Articles (18)

Rampant Interkingdom Horizontal Gene Transfer in Pezizomycotina? An Updated Inspection of Anomalous Phylogenies

Drug Release Nanoparticle System Design: Data Set Compilation and Machine Learning Modeling

Prediction of compound-target interaction using several artificial intelligence algorithms and comparison with a consensus-based strategy

MATEO: intermolecular α-amidoalkylation theoretical enantioselectivity optimization. Online tool for selection and design of chiral catalysts and products

Database Bias in the Detection of Interdomain Horizontal Gene Transfer Events in Pezizomycotina

Prediction of Anti-Glioblastoma Drug-Decorated Nanoparticle Delivery Systems Using Molecular Descriptors and Machine Learning

Applying Artificial Intelligence for Operating System Fingerprinting

Prediction of Antimalarial Drug-Decorated Nanoparticle Delivery Systems with Random Forest Models

Net-Net AutoML Selection of Artificial Neural Network Topology for Brain Connectome Prediction

Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks

Gene Prioritization through Consensus Strategy, Enrichment Methodologies Analysis, and Networking for Osteosarcoma Pathogenesis

Automatic assessment of Alzheimer's disease diagnosis based on deep learning techniques

MCDcalc: Markov chain molecular descriptors calculator for medicinal chemistry

OncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicine

Design and Implementation of a Physical Bitcoin Coin

A Multi-Objective Approach for Anti-Osteosarcoma Cancer Agents Discovery through Drug Repurposing

Drugs Repurposing Using QSAR, Docking and Molecular Dynamics for Possible Inhibitors of the SARS-CoV-2 Mpro Protease

Perturbation-Theory Machine Learning (PTML) Multilabel Model of the ChEMBL Dataset of Preclinical Assays for Antisarcoma Compounds

Collaborators (7)

Nuria Sotomayor

Juan R. Rabuñal

Alejandro Pazos Sierra

Marcos Gestal

José Manuel Vázquez Naya

Stephen Jones Barigye

Esther Lete

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